847 search results - page 118 / 170 » HITS is Principal Components Analysis |
101
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AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
ICIAR
2005
Springer
15 years 6 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
131
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ICIAR
2005
Springer
15 years 6 months ago
2005
Springer
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
103
Voted
SSPR
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
99
Voted
CSB
2003
IEEE
15 years 5 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...